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About this paper
Ashutosh Hathidara
The authors train agents to assign each step a confidence scored against whether the eventual episode succeeds, using outcome labels across online rollouts. In live ALFWorld with Qwen2.5-7B-Instruct, early-step pooled AUROC rises from 0.689 to 0.790, and confidence-selected top 10% of early steps succeed 0.635 of the time. This signal mainly ranks tasks; same-task attempt discrimination is not established.
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